Breast cancer and quality of life: medical information extraction from health forums

Thomas Opitz 1, 2, * Jérôme Azé 3, 4, 5 Sandra Bringay 5, 6 Cyrille Joutard 1 Christian Lavergne 1 Caroline Mollevi 7, 8
* Auteur correspondant
1 I3M - Institut de Mathématiques et de Modélisation de Montpellier
2 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 AMIB - Algorithms and Models for Integrative Biology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France
4 LRI - Laboratoire de Recherche en Informatique
5 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
6 UM3 - Université Paul-Valéry - Montpellier 3
7 ICM - UNICANCER - Institut régional du Cancer [Montpellier]
8 Unité de biostatistiques
Abstract : Internet health forums are a rich textual resource with content generated through free exchanges among patients and, in certain cases, health professionals. We tackle the problem of retrieving clinically relevant information from such forums, with relevant topics being defined from clinical auto-questionnaires. Texts in forums are largely unstructured and noisy, calling for adapted preprocessing and query methods. We minimize the number of false negatives in queries by using a synonym tool to achieve query expansion of initial topic keywords. To avoid false positives, we propose a new measure based on a statistical comparison of frequent co-occurrences in a large reference corpus (Web) to keep only relevant expansions. Our work is motivated by a study of breast cancer patients' health-related quality of life (QoL). We consider topics defined from a breast-cancer specific QoL-questionnaire. We quantify and structure occurrences in posts of a specialized French forum and outline important future developments.
Keywords : breast cancer quality of life study query expansion text mining social media
Type de document :
Communication dans un congrès
MIE: Medical Informatics Europe, Aug 2014, Istanbul, Turkey. 25th Medical Informatics Europe Conference, pp.1070-1074, 2014
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Dernière modification le : mardi 19 mars 2019 - 16:50:07
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Thomas Opitz, Jérôme Azé, Sandra Bringay, Cyrille Joutard, Christian Lavergne, et al.. Breast cancer and quality of life: medical information extraction from health forums. MIE: Medical Informatics Europe, Aug 2014, Istanbul, Turkey. 25th Medical Informatics Europe Conference, pp.1070-1074, 2014. 〈hal-01061891〉

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